赵延军, 张丹. 提高颗粒检测实验抗噪性能的改进Chahine算法应用[J]. 煤矿安全, 2017, 48(12): 215-217.
    引用本文: 赵延军, 张丹. 提高颗粒检测实验抗噪性能的改进Chahine算法应用[J]. 煤矿安全, 2017, 48(12): 215-217.
    ZHAO Yanjun, ZHANG Dan. De-noising Processing by Improved Chahine Algorithm to Enhance Particle Detection[J]. Safety in Coal Mines, 2017, 48(12): 215-217.
    Citation: ZHAO Yanjun, ZHANG Dan. De-noising Processing by Improved Chahine Algorithm to Enhance Particle Detection[J]. Safety in Coal Mines, 2017, 48(12): 215-217.

    提高颗粒检测实验抗噪性能的改进Chahine算法应用

    De-noising Processing by Improved Chahine Algorithm to Enhance Particle Detection

    • 摘要: 为了提高颗粒检测实验的抗噪性能,改进Chahine算法引入一维平滑函数。着重分析Mie散射的原理,计算消光系数矩阵。建立颗粒粒径分布软测量模型,测量多个波长下的消光值来获得待测颗粒系的粒径分布曲线;加入不同程度的噪声进行比较,验证Chahine算法的抗噪能力较强,实验结果准确性较高。

       

      Abstract: In order to improve the anti-noise performance of particle detection experiment, this paper improves the Chahine algorithm, introduces one-dimensional smooth function. This paper focuses on the analysis of the principle of Mie scattering, calculates the extinction coefficient matrix. This paper establishes soft sensor model of the particle size distribution and measures light extinction data at multi wavelengths to obtain the particle size distribution curve of the particle system. Different degrees of noise are added to compare and prove that Chahine algorithm has strong anti-noise ability, the accuracy of the experimental results is higher.

       

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